Is there a better data structure than classes for a set of employes?

[buran]

employees.yaml

Output:
  - name: John
    nationality: USA
  - name: Jane
    nationality: UK

import yaml
from random import randint
from dataclasses import dataclass

# one way to define basic class
class Employee:
    def __init__(self, name, nationality):
        self.name = name
        self.nationality =  nationality

    @property
    def cost(self):
        some_calculated_cost = randint(0, 20) # here I just randomly genereate cost between 0 and 20
        return some_calculated_cost

# alternative, using @dataclass
@dataclass
class Employee2:
    name: str
    nationality: str


    @property
    def cost(self):
        some_calculated_cost = randint(0, 20) # here I just randomly genereate cost between 0 and 20
        return some_calculated_cost



if __name__ == '__main__':
    
    # load using Employee class
    with open('employees.yaml') as f:
        employees = [Employee(**empl) for empl in yaml.safe_load(f)]

    # load using Employee2 class
    with open('employees.yaml') as f:
        employees2 = [Employee2(**empl) for empl in yaml.safe_load(f)]

    print(employees) # this one has no __str__ or __repr__ method defined
    print(employees2) # note the difference, this one has __repr__() method autocreated

    for employee in employees:
        print(f'{employee.name}: {employee.cost}')

    for employee in employees:
        print(f'{employee.name}: {employee.cost}')